{"id":6762,"date":"2023-05-17T23:45:08","date_gmt":"2023-05-17T21:45:08","guid":{"rendered":"https:\/\/geopard.tech\/?p=6762"},"modified":"2024-11-12T18:47:41","modified_gmt":"2024-11-12T17:47:41","slug":"automatizovany-model-detekcie-hranic-poli-precizne-polnohospodarstvo","status":"publish","type":"post","link":"https:\/\/geopard.tech\/sk\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/","title":{"rendered":"Automatizovan\u00fd model detekcie hran\u00edc pol\u00ed pre presn\u00e9 po\u013enohospod\u00e1rstvo od spolo\u010dnosti GeoPard"},"content":{"rendered":"<p>Spolo\u010dnos\u0165 GeoPard \u00faspe\u0161ne dokon\u010dila v\u00fdvoj automatizovan\u00e9ho modelu detekcie hran\u00edc pol\u00ed s vyu\u017eit\u00edm viacro\u010dn\u00fdch satelitn\u00fdch sn\u00edmok, presnej detekcie oblakov a tie\u0148ov a pokro\u010dil\u00fdch propriet\u00e1rnych algoritmov vr\u00e1tane hlbok\u00fdch neur\u00f3nov\u00fdch siet\u00ed.<\/p>\n<p>Model detekcie po\u013ea GeoPard dosiahol najmodernej\u0161iu presnos\u0165 <strong>0,975 na metrike Priese\u010dn\u00edk cez \u00faniu (IoU)<\/strong>, overen\u00e9 v r\u00f4znych regi\u00f3noch a pre r\u00f4zne druhy plod\u00edn na celom svete.<\/p>\n<p>Pozrite si tieto obr\u00e1zky a pozrite si v\u00fdsledky v Nemecku (priemern\u00e1 ve\u013ekos\u0165 po\u013ea je 7 hekt\u00e1rov):<\/p>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"6765\" data-permalink=\"https:\/\/geopard.tech\/sk\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/1-raw-sentinel-2-image\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?fit=695%2C439&amp;ssl=1\" data-orig-size=\"695,439\" data-comments-opened=\"1\" data-image-title=\"1 &amp;#8211; Raw Sentinel-2 image\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?fit=695%2C439&amp;ssl=1\" class=\"wp-image-6765 size-full aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?resize=695%2C439&#038;ssl=1\" alt=\"1 \u2013 Nespracovan\u00fd obraz Sentinel-2\" width=\"695\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?w=695&amp;ssl=1 695w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?resize=300%2C189&amp;ssl=1 300w\" sizes=\"(max-width: 695px) 100vw, 695px\" \/><\/p>\n<p style=\"text-align: center;\">1 \u2013 Nespracovan\u00fd obraz Sentinel-2<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"6768\" data-permalink=\"https:\/\/geopard.tech\/sk\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/3-segmented-field-boundaries\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?fit=722%2C435&amp;ssl=1\" data-orig-size=\"722,435\" data-comments-opened=\"1\" data-image-title=\"3 &amp;#8211; Segmented field boundaries\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?fit=722%2C435&amp;ssl=1\" class=\"wp-image-6768 size-full aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?resize=722%2C435&#038;ssl=1\" alt=\"3 - Segmentovan\u00e9 hranice po\u013ea\" width=\"722\" height=\"435\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?w=722&amp;ssl=1 722w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?resize=300%2C181&amp;ssl=1 300w\" sizes=\"(max-width: 722px) 100vw, 722px\" \/><\/p>\n<p style=\"text-align: center;\">2 \u2013 Sn\u00edmka zo Sentinel-2 s vysok\u00fdm rozl\u00ed\u0161en\u00edm od GeoPard (rozl\u00ed\u0161enie 1 meter)<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"6766\" data-permalink=\"https:\/\/geopard.tech\/sk\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/2-super-resolution-sentinel-2-image-by-geopard\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?fit=724%2C440&amp;ssl=1\" data-orig-size=\"724,440\" data-comments-opened=\"1\" data-image-title=\"2 &amp;#8211; Super-resolution Sentinel-2 image by GeoPard\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?fit=724%2C440&amp;ssl=1\" class=\"wp-image-6766 size-full aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?resize=724%2C440&#038;ssl=1\" alt=\"2 - Obr\u00e1zok Sentinel-2 s vysok\u00fdm rozl\u00ed\u0161en\u00edm od GeoPard\" width=\"724\" height=\"440\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?w=724&amp;ssl=1 724w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?resize=300%2C182&amp;ssl=1 300w\" sizes=\"(max-width: 724px) 100vw, 724px\" \/><\/p>\n<p style=\"text-align: center;\">3 \u2013 Segmentovan\u00e9 hranice pol\u00ed, <strong>0.975 <\/strong><strong>Metrika presnosti priese\u010dn\u00edka cez zjednotenie (IoU), <\/strong>vo viacer\u00fdch medzin\u00e1rodn\u00fdch regi\u00f3noch a pre r\u00f4zne druhy plod\u00edn.<\/p>\n<hr \/>\n<p>Integr\u00e1cia do n\u00e1\u0161ho API a aplik\u00e1cie GeoPard bude \u010doskoro k dispoz\u00edcii. T\u00e1to automatizovan\u00e1 a n\u00e1kladovo efekt\u00edvna met\u00f3da pom\u00e1ha predpoveda\u0165 v\u00fdnosy, je pr\u00ednosom pre vl\u00e1dne organiz\u00e1cie a pom\u00e1ha ve\u013ek\u00fdm vlastn\u00edkom p\u00f4dy, ktor\u00ed \u010dasto potrebuj\u00fa aktualizova\u0165 hranice pol\u00ed medzi sez\u00f3nami.<\/p>\n<p>GeoPardov pr\u00edstup vyu\u017e\u00edva <a href=\"https:\/\/docs.geopard.tech\/geopard-tutorials\/product-tour-web-app\/satellite-monitoring\/crop-development-index-graph\">viacro\u010dn\u00e9 trendy veget\u00e1cie plod\u00edn<\/a> pomocou multifaktorovej anal\u00fdzy a striedania plod\u00edn.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/docs.geopard.tech\/~gitbook\/image?url=https%3A%2F%2F3272281156-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FYICBELdyAXXebKAzfLOR%252Fuploads%252FCPTPgYcnX5R6t8cY5NFW%252FGeoPard%2520-%2520Biomass%2520development%2520index%2520as%2520a%2520graph.png%3Falt%3Dmedia%26token%3D36d87266-093f-43b3-a14c-85f0a0cad58a&amp;width=768&amp;dpr=4&amp;quality=100&amp;sign=599c4c38&amp;sv=1\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Model je pr\u00edstupn\u00fd prostredn\u00edctvom <a href=\"https:\/\/docs.geopard.tech\/geopard-tutorials\/api-docs\/geopard-api-overview\">Rozhranie API GeoPard<\/a> na b\u00e1ze platby pod\u013ea spotreby, \u010do pon\u00faka flexibilitu bez nutnosti drah\u00fdch predplatn\u00fdch.<\/p>\n<p>&nbsp;<\/p>\n<h2>\u010co je vymedzenie hran\u00edc pol\u00ed?<\/h2>\n<p>Vymedzenie hran\u00edc pol\u00ed sa vz\u0165ahuje na proces identifik\u00e1cie a mapovania hran\u00edc po\u013enohospod\u00e1rskych pol\u00ed alebo pozemkov. Zah\u0155\u0148a pou\u017eitie r\u00f4znych techn\u00edk a zdrojov \u00fadajov na vymedzenie hran\u00edc jednotliv\u00fdch pol\u00ed alebo po\u013enohospod\u00e1rskych parciel.<\/p>\n<p>Hranice pol\u00ed tradi\u010dne vymedzovali ru\u010dne po\u013enohospod\u00e1ri alebo vlastn\u00edci p\u00f4dy na z\u00e1klade svojich vedomost\u00ed a pozorovan\u00ed.<\/p>\n<p>S pokrokom v technol\u00f3gii, najm\u00e4 v oblasti dia\u013ekov\u00e9ho prieskumu Zeme a geografick\u00fdch informa\u010dn\u00fdch syst\u00e9mov (GIS), sa v\u0161ak \u010doraz viac roz\u0161iruj\u00fa automatizovan\u00e9 a poloautomatick\u00e9 met\u00f3dy.<\/p>\n<p>Jedn\u00fdm z be\u017en\u00fdch pr\u00edstupov je anal\u00fdza satelitn\u00fdch alebo leteck\u00fdch sn\u00edmok. Sn\u00edmky s vysok\u00fdm rozl\u00ed\u0161en\u00edm zachyten\u00e9 satelitmi alebo lietadlami m\u00f4\u017eu poskytn\u00fa\u0165 podrobn\u00e9 inform\u00e1cie o krajine vr\u00e1tane hran\u00edc medzi r\u00f4znymi pozemkov\u00fdmi parcelami.<\/p>\n<p>Na tieto sn\u00edmky je mo\u017en\u00e9 pou\u017ei\u0165 algoritmy spracovania obrazu na detekciu odli\u0161n\u00fdch prvkov, ako s\u00fa zmeny typu veget\u00e1cie, farby, text\u00fary alebo vzorov, ktor\u00e9 nazna\u010duj\u00fa pr\u00edtomnos\u0165 hran\u00edc pol\u00ed.<\/p>\n<p>\u010eal\u0161ia technika zah\u0155\u0148a pou\u017eitie \u00fadajov LiDAR (Light Detection and Ranging), ktor\u00e9 vyu\u017e\u00edvaj\u00fa laserov\u00e9 l\u00fa\u010de na meranie vzdialenosti medzi senzorom a zemsk\u00fdm povrchom.<\/p>\n<p>D\u00e1ta LiDAR m\u00f4\u017eu poskytn\u00fa\u0165 podrobn\u00e9 inform\u00e1cie o nadmorskej v\u00fd\u0161ke a topografick\u00e9 inform\u00e1cie, \u010do umo\u017e\u0148uje identifikova\u0165 jemn\u00e9 zmeny v ter\u00e9ne, ktor\u00e9 m\u00f4\u017eu zodpoveda\u0165 hraniciam pol\u00ed.<\/p>\n<p>Okrem toho, geografick\u00e9 informa\u010dn\u00e9 syst\u00e9my (GIS) zohr\u00e1vaj\u00fa k\u013e\u00fa\u010dov\u00fa \u00falohu pri vymedzovan\u00ed hran\u00edc pol\u00ed.<\/p>\n<p>Softv\u00e9r GIS umo\u017e\u0148uje integr\u00e1ciu a anal\u00fdzu r\u00f4znych d\u00e1tov\u00fdch vrstiev vr\u00e1tane satelitn\u00fdch sn\u00edmok, topografick\u00fdch m\u00e1p, z\u00e1znamov o vlastn\u00edctve p\u00f4dy a \u010fal\u0161\u00edch relevantn\u00fdch inform\u00e1ci\u00ed. Kombin\u00e1ciou t\u00fdchto zdrojov \u00fadajov m\u00f4\u017ee GIS pom\u00f4c\u0165 pri interpret\u00e1cii a identifik\u00e1cii hran\u00edc pol\u00ed.<\/p>\n<p>Presn\u00e9 vymedzenie pol\u00ed je nevyhnutn\u00e9 z nieko\u013ek\u00fdch d\u00f4vodov. Umo\u017e\u0148uje lep\u0161ie hospod\u00e1renie s po\u013enohospod\u00e1rskymi zdrojmi, umo\u017e\u0148uje techniky presn\u00e9ho po\u013enohospod\u00e1rstva a podporuje pl\u00e1novanie a implement\u00e1ciu po\u013enohospod\u00e1rskych postupov, ako je zavla\u017eovanie, hnojenie a ochrana proti \u0161kodcom.<\/p>\n<p>Presn\u00e9 \u00fadaje o hraniciach pol\u00ed tie\u017e pom\u00e1haj\u00fa pri spr\u00e1ve p\u00f4dy, pl\u00e1novan\u00ed vyu\u017e\u00edvania p\u00f4dy a dodr\u017eiavan\u00ed po\u013enohospod\u00e1rskych predpisov.<\/p>\n<h2>Ako je to u\u017eito\u010dn\u00e9?<\/h2>\n<p>Zohr\u00e1va k\u013e\u00fa\u010dov\u00fa \u00falohu v po\u013enohospod\u00e1rstve a hospod\u00e1ren\u00ed s p\u00f4dou a prin\u00e1\u0161a nieko\u013eko v\u00fdhod a m\u00e1 v\u00fdznam podlo\u017een\u00fd d\u00f4kazmi a glob\u00e1lnymi \u010d\u00edslami. Tu je nieko\u013eko k\u013e\u00fa\u010dov\u00fdch bodov:<\/p>\n<p><strong>1. Presn\u00e9 po\u013enohospod\u00e1rstvo:<\/strong> Presn\u00e9 hranice pol\u00ed pom\u00e1haj\u00fa pri implement\u00e1cii techn\u00edk presn\u00e9ho po\u013enohospod\u00e1rstva, kde s\u00fa zdroje ako voda, hnojiv\u00e1 a pestic\u00eddy presne zameran\u00e9 na konkr\u00e9tne oblasti v r\u00e1mci pol\u00ed.<\/p>\n<p>Pod\u013ea spr\u00e1vy Svetovej banky maj\u00fa technol\u00f3gie presn\u00e9ho po\u013enohospod\u00e1rstva potenci\u00e1l zv\u00fd\u0161i\u0165 v\u00fdnosy plod\u00edn o 20% a zn\u00ed\u017ei\u0165 vstupn\u00e9 n\u00e1klady o 10-20%.<\/p>\n<p><strong>2. Efekt\u00edvne riadenie zdrojov:<\/strong> Umo\u017e\u0148uje po\u013enohospod\u00e1rom lep\u0161ie hospod\u00e1ri\u0165 so zdrojmi optimaliz\u00e1ciou zavla\u017eovac\u00edch syst\u00e9mov, \u00fapravou postupov hnojenia a monitorovan\u00edm zdravia plod\u00edn. T\u00e1to presnos\u0165 zni\u017euje plytvanie zdrojmi a vplyv na \u017eivotn\u00e9 prostredie.<\/p>\n<p>Organiz\u00e1cia OSN pre v\u00fd\u017eivu a po\u013enohospod\u00e1rstvo (FAO) odhaduje, \u017ee postupy presn\u00e9ho po\u013enohospod\u00e1rstva m\u00f4\u017eu zn\u00ed\u017ei\u0165 spotrebu vody o 20 \u2013 501 TP3T, spotrebu hnoj\u00edv o 10 \u2013 201 TP3T a pou\u017e\u00edvanie pestic\u00eddov o 20 \u2013 301 TP3T.<\/p>\n<p><strong>3. Pl\u00e1novanie vyu\u017e\u00edvania p\u00f4dy:<\/strong> Presn\u00e9 \u00fadaje o hraniciach pol\u00ed s\u00fa nevyhnutn\u00e9 pre pl\u00e1novanie vyu\u017e\u00edvania p\u00f4dy, ktor\u00e9 zabezpe\u010duje efekt\u00edvne vyu\u017e\u00edvanie dostupnej po\u013enohospod\u00e1rskej p\u00f4dy. Umo\u017e\u0148uj\u00fa tvorcom polit\u00edk a spr\u00e1vcom p\u00f4dy robi\u0165 informovan\u00e9 rozhodnutia t\u00fdkaj\u00face sa pride\u013eovania p\u00f4dy, striedania plod\u00edn a \u00fazemn\u00e9ho pl\u00e1novania.<\/p>\n<p>To m\u00f4\u017ee vies\u0165 k zv\u00fd\u0161eniu po\u013enohospod\u00e1rskej produktivity a zlep\u0161eniu potravinovej bezpe\u010dnosti. \u0160t\u00fadia publikovan\u00e1 v \u010dasopise Journal of Soil and Water Conservation zistila, \u017ee efekt\u00edvne pl\u00e1novanie vyu\u017e\u00edvania p\u00f4dy by mohlo zv\u00fd\u0161i\u0165 glob\u00e1lnu produkciu potrav\u00edn o 20-67%.<\/p>\n<p><strong>4. Po\u013enohospod\u00e1rske dot\u00e1cie a poistenie:<\/strong> Mnoh\u00e9 krajiny poskytuj\u00fa po\u013enohospod\u00e1rske dot\u00e1cie a poistn\u00e9 programy na z\u00e1klade hran\u00edc pol\u00ed. Presn\u00e9 vymedzenie pom\u00e1ha pri ur\u010dovan\u00ed opr\u00e1vnen\u00fdch pozemkov\u00fdch pl\u00f4ch, zabezpe\u010duje spravodliv\u00e9 rozdelenie dot\u00e1ci\u00ed a presne vypo\u010d\u00edtava poistn\u00e9.<\/p>\n<p>Napr\u00edklad Spolo\u010dn\u00e1 po\u013enohospod\u00e1rska politika (SPP) Eur\u00f3pskej \u00fanie sa pri v\u00fdpo\u010dte dot\u00e1ci\u00ed a monitorovan\u00ed dodr\u017eiavania predpisov spolieha na presn\u00e9 hranice pol\u00ed.<\/p>\n<p><strong>5. Spr\u00e1va p\u00f4dy a pr\u00e1vne hranice:<\/strong> Vymedzenie hran\u00edc pol\u00ed v po\u013enohospod\u00e1rstve je k\u013e\u00fa\u010dov\u00e9 pre spr\u00e1vu p\u00f4dy, vlastn\u00edcke pr\u00e1va a rie\u0161enie pozemkov\u00fdch sporov. Presn\u00e9 mapy hran\u00edc pol\u00ed pom\u00e1haj\u00fa ur\u010di\u0165 pr\u00e1vne vlastn\u00edctvo, podporuj\u00fa syst\u00e9my registr\u00e1cie p\u00f4dy a u\u013eah\u010duj\u00fa transparentn\u00e9 pozemkov\u00e9 transakcie.<\/p>\n<p>Svetov\u00e1 banka odhaduje, \u017ee iba 301,3 tis. obyvate\u013eov sveta m\u00e1 leg\u00e1lne zdokumentovan\u00e9 pr\u00e1va na svoju p\u00f4du, \u010do zd\u00f4raz\u0148uje d\u00f4le\u017eitos\u0165 spo\u013eahliv\u00fdch \u00fadajov o hraniciach pol\u00ed pre bezpe\u010dn\u00e9 vlastn\u00edctvo p\u00f4dy.<\/p>\n<p><strong>6. S\u00falad s predpismi a environment\u00e1lna udr\u017eate\u013enos\u0165:<\/strong> Presn\u00e9 hranice pol\u00ed pom\u00e1haj\u00fa pri monitorovan\u00ed s\u00faladu s predpismi, \u010d\u00edm sa zabezpe\u010d\u00ed dodr\u017eiavanie environment\u00e1lnych predpisov a udr\u017eate\u013en\u00fdch po\u013enohospod\u00e1rskych postupov.<\/p>\n<p>Pom\u00e1ha identifikova\u0165 ochrann\u00e9 z\u00f3ny, chr\u00e1nen\u00e9 oblasti a oblasti n\u00e1chyln\u00e9 na er\u00f3ziu alebo kontamin\u00e1ciu vody, \u010do umo\u017e\u0148uje po\u013enohospod\u00e1rom prija\u0165 vhodn\u00e9 opatrenia. Dodr\u017eiavanie environment\u00e1lnych noriem zvy\u0161uje udr\u017eate\u013enos\u0165 a zni\u017euje negat\u00edvne vplyvy na ekosyst\u00e9my.<\/p>\n<p>Pod\u013ea FAO m\u00f4\u017eu udr\u017eate\u013en\u00e9 po\u013enohospod\u00e1rske postupy zmierni\u0165 emisie sklen\u00edkov\u00fdch plynov a\u017e o 6 mili\u00e1rd ton ro\u010dne.<\/p>\n<p>Tieto body ilustruj\u00fa jeho u\u017eito\u010dnos\u0165 a d\u00f4le\u017eitos\u0165 v po\u013enohospod\u00e1rstve a hospod\u00e1ren\u00ed s p\u00f4dou. Predlo\u017een\u00e9 d\u00f4kazy a glob\u00e1lne \u010d\u00edsla podporuj\u00fa pozit\u00edvne vplyvy, ktor\u00e9 m\u00f4\u017ee ma\u0165 na efekt\u00edvne vyu\u017e\u00edvanie zdrojov, pl\u00e1novanie vyu\u017e\u00edvania p\u00f4dy, pr\u00e1vne r\u00e1mce, environment\u00e1lnu udr\u017eate\u013enos\u0165 a celkov\u00fa po\u013enohospod\u00e1rsku produktivitu.<\/p>\n<p>Stru\u010dne povedan\u00e9, vymedzenie hran\u00edc pol\u00ed v po\u013enohospod\u00e1rstve je proces identifik\u00e1cie a mapovania hran\u00edc po\u013enohospod\u00e1rskych pol\u00ed alebo pozemkov. Na presn\u00e9 definovanie a vymedzenie t\u00fdchto hran\u00edc sa opiera o r\u00f4zne techniky, ako je anal\u00fdza satelitn\u00fdch sn\u00edmok, \u00fadaje LiDAR a GIS, \u010do umo\u017e\u0148uje efekt\u00edvne hospod\u00e1renie s p\u00f4dou a po\u013enohospod\u00e1rske postupy.<\/p>","protected":false},"excerpt":{"rendered":"<p>Spolo\u010dnos\u0165 GeoPard \u00faspe\u0161ne dokon\u010dila v\u00fdvoj automatizovan\u00e9ho modelu detekcie hran\u00edc pol\u00ed s vyu\u017eit\u00edm viacro\u010dn\u00fdch satelitn\u00fdch sn\u00edmok, presnej detekcie oblakov a tie\u0148ov a pokro\u010dil\u00fdch propriet\u00e1rnych\u2026<\/p>","protected":false},"author":210157960,"featured_media":6764,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1586,1661,1372,1377,1378,1368],"tags":[1618,1668],"class_list":["post-6762","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-features","category-satellite-imagery","category-blog","category-crop-monitoring","category-remote-sensing","category-yield","tag-crop-monitoring","tag-field-boundaries"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - 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